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Summary
Summary
This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.
Author Notes
R. L. Chambers is the editor of Analysis of Survey Data, published by Wiley.
C. J. Skinner is the editor of Analysis of Survey Data, published by Wiley.
Table of Contents
Preface |
List of Contributors |
IntroductionR. L. Chambers and C. J. Skinner |
Part A Approaches to Inference |
Introduction to Part AR. L. Chambers |
Design-based and Model-based Methods for Estimating Model ParametersDavid A. Binder and Georgia R. Roberts |
The Bayesian Approach to Sample Survey InferenceRoderick J. Little |
Interpreting a Sample as Evidence about a Finite PopulationRichard Royall |
Part B Categorical Response Data |
Introduction to Part BC. J. Skinner |
Analysis of Categorical Response Data from Complex Surveys: an Appraisal and UpdateJ. N. K. Rao and D. R. Thomas |
Fitting Logistic Regression Models in Case-Control Studies with Complex SamplingAlastair Scott and Chris Wild |
Part C Continuous and General Response Data |
Introduction to Part CR. L. Chambers |
Graphical Displays of Complex Survey Data through Kernel SmoothingC. M. Goia and J. E. Stafford |
Nonparametric Regression with Complex Survey DataR. L. Chambers and A. H. Dorfman and M. Yu Sverchkov |
Fitting Generalized Linear Models under Informative SamplingDanny Pfeffermann and M. Yu Sverchkov |
Part D Longitudinal Data |
Introduction to Part DC. J. Skinner |
Random Effects Models for Longitudinal Survey DataC. J. Skinner and D. J. Holmes |
Event History Analysis and Longitudinal SurveysJ. F. Lawless |
Applying Heterogeneous Transition Models in Labour Economics |
The Role of Youth Training in Labour Market TransitionsFabrizia Mealli and Stephen Pudney) |
Part E Incomplete Data |
Introduction to Part ER. L. Chambers |
Bayesian Methods for Unit and Item NonresponseRoderick J. Little |
Estimation for Multiple Phase SamplesWayne A. Fuller |
Analysis Combining Survey and Geographically Aggregated DataD. G. Steel and M. Tranmer and D. Holt |
ReferencesT. M. F. Smith |
Publications up to 2002 |
Author Index |
Subject Index |